Pandas Profiling Report

Dataset statistics

Number of variables	9
Number of observations	4177
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	497.8 KiB
Average record size in memory	122.0 B

Variable types

Categorical	1
Numeric	8

Alerts

`Length` is highly correlated with `Diameter` and 6 other fields	High correlation
`Diameter` is highly correlated with `Length` and 6 other fields	High correlation
`Height` is highly correlated with `Length` and 6 other fields	High correlation
`Whole weight` is highly correlated with `Length` and 6 other fields	High correlation
`Shucked weight` is highly correlated with `Length` and 6 other fields	High correlation
`Viscera weight` is highly correlated with `Length` and 6 other fields	High correlation
`Shell weight` is highly correlated with `Length` and 6 other fields	High correlation
`Rings` is highly correlated with `Length` and 6 other fields	High correlation
`Length` is highly correlated with `Diameter` and 6 other fields	High correlation
`Diameter` is highly correlated with `Length` and 6 other fields	High correlation
`Height` is highly correlated with `Length` and 6 other fields	High correlation
`Whole weight` is highly correlated with `Length` and 6 other fields	High correlation
`Shucked weight` is highly correlated with `Length` and 5 other fields	High correlation
`Viscera weight` is highly correlated with `Length` and 6 other fields	High correlation
`Shell weight` is highly correlated with `Length` and 6 other fields	High correlation
`Rings` is highly correlated with `Length` and 5 other fields	High correlation
`Length` is highly correlated with `Diameter` and 5 other fields	High correlation
`Diameter` is highly correlated with `Length` and 5 other fields	High correlation
`Height` is highly correlated with `Length` and 6 other fields	High correlation
`Whole weight` is highly correlated with `Length` and 5 other fields	High correlation
`Shucked weight` is highly correlated with `Length` and 5 other fields	High correlation
`Viscera weight` is highly correlated with `Length` and 5 other fields	High correlation
`Shell weight` is highly correlated with `Length` and 6 other fields	High correlation
`Rings` is highly correlated with `Height` and 1 other fields	High correlation
`Sex` is highly correlated with `Length` and 6 other fields	High correlation
`Length` is highly correlated with `Sex` and 7 other fields	High correlation
`Diameter` is highly correlated with `Sex` and 7 other fields	High correlation
`Height` is highly correlated with `Length` and 6 other fields	High correlation
`Whole weight` is highly correlated with `Sex` and 7 other fields	High correlation
`Shucked weight` is highly correlated with `Sex` and 7 other fields	High correlation
`Viscera weight` is highly correlated with `Sex` and 7 other fields	High correlation
`Shell weight` is highly correlated with `Sex` and 7 other fields	High correlation
`Rings` is highly correlated with `Sex` and 7 other fields	High correlation

Reproduction

Analysis started	2022-02-15 20:03:38.678187
Analysis finished	2022-02-15 20:03:46.276083
Duration	7.6 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

Sex
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	236.7 KiB

M	1528
I	1342
F	1307

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	M
2nd row	M
3rd row	F
4th row	M
5th row	I

Common Values

Value	Count	Frequency (%)
M	1528	36.6%
I	1342	32.1%
F	1307	31.3%

Length

Dataset statistics

Number of variables	8
Number of observations	4175
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	175.4 KiB
Average record size in memory	43.0 B

Variable types

Numeric	5
Categorical	3

Alerts

`Length` is highly correlated with `Height` and 3 other fields	High correlation
`Height` is highly correlated with `Length` and 3 other fields	High correlation
`Whole weight` is highly correlated with `Length` and 3 other fields	High correlation
`Age` is highly correlated with `Length` and 3 other fields	High correlation
`Sex_F` is highly correlated with `Sex_M`	High correlation
`Sex_I` is highly correlated with `Length` and 4 other fields	High correlation
`Sex_M` is highly correlated with `Sex_F` and 1 other fields	High correlation
`Length` is highly correlated with `Height` and 3 other fields	High correlation
`Height` is highly correlated with `Length` and 3 other fields	High correlation
`Whole weight` is highly correlated with `Length` and 3 other fields	High correlation
`Age` is highly correlated with `Length` and 2 other fields	High correlation
`Sex_F` is highly correlated with `Sex_M`	High correlation
`Sex_I` is highly correlated with `Length` and 3 other fields	High correlation
`Sex_M` is highly correlated with `Sex_F` and 1 other fields	High correlation
`Length` is highly correlated with `Height` and 1 other fields	High correlation
`Height` is highly correlated with `Length` and 2 other fields	High correlation
`Whole weight` is highly correlated with `Length` and 1 other fields	High correlation
`Age` is highly correlated with `Height`	High correlation
`Sex_F` is highly correlated with `Sex_M`	High correlation
`Sex_I` is highly correlated with `Sex_M`	High correlation
`Sex_M` is highly correlated with `Sex_F` and 1 other fields	High correlation
`Sex_F` is highly correlated with `Sex_M`	High correlation
`Sex_I` is highly correlated with `Sex_M`	High correlation
`Sex_M` is highly correlated with `Sex_F` and 1 other fields	High correlation
`Length` is highly correlated with `Height` and 3 other fields	High correlation
`Height` is highly correlated with `Length` and 2 other fields	High correlation
`Whole weight` is highly correlated with `Length` and 3 other fields	High correlation
`Age` is highly correlated with `Length` and 3 other fields	High correlation
`Sex_F` is highly correlated with `Sex_I` and 1 other fields	High correlation
`Sex_I` is highly correlated with `Length` and 4 other fields	High correlation
`Sex_M` is highly correlated with `Sex_F` and 1 other fields	High correlation
`df_index` is uniformly distributed	Uniform
`df_index` has unique values	Unique

Reproduction

Analysis started	2022-02-15 20:43:21.103133
Analysis finished	2022-02-15 20:43:26.030583
Duration	4.93 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

df_index
Real number (ℝ_≥0)

UNIFORM
UNIQUE

Distinct	4175
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2087.742036

Minimum	0
Maximum	4176
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	32.7 KiB

Quantile statistics

Minimum	0
5-th percentile	208.7
Q1	1043.5
median	2088
Q3	3131.5
95-th percentile	3966.3
Maximum	4176
Range	4176
Interquartile range (IQR)	2088

Descriptive statistics

Standard deviation	1205.799036
Coefficient of variation (CV)	0.577561315
Kurtosis	-1.199849531
Mean	2087.742036
Median Absolute Deviation (MAD)	1044
Skewness	-0.0002290815981
Sum	8716323
Variance	1453951.314
Monotonicity	Strictly increasing

Histogram of lengths of the category

Pie chart

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1	< 0.1%
1334	1	< 0.1%
1338	1	< 0.1%
3387	1	< 0.1%
1342	1	< 0.1%
3391	1	< 0.1%
1346	1	< 0.1%
3395	1	< 0.1%
1350	1	< 0.1%
3399	1	< 0.1%
Other values (4165)	4165	99.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
4176	1	< 0.1%
4175	1	< 0.1%
4174	1	< 0.1%
4173	1	< 0.1%
4172	1	< 0.1%
4171	1	< 0.1%
4170	1	< 0.1%
4169	1	< 0.1%
4168	1	< 0.1%
4167	1	< 0.1%

Length
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	134
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.7184580322

Minimum	0.2738612788
Maximum	0.9027735043
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	32.7 KiB

Value	Count	Frequency (%)
m	1528	36.6%
i	1342	32.1%
f	1307	31.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Length
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	134
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.5239920996

Minimum	0.075
Maximum	0.815
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	32.8 KiB

Quantile statistics

Minimum	0.075
5-th percentile	0.295
Q1	0.45
median	0.545
Q3	0.615
95-th percentile	0.69
Maximum	0.815
Range	0.74
Interquartile range (IQR)	0.165

Descriptive statistics

Standard deviation	0.1200929126
Coefficient of variation (CV)	0.2291884031
Kurtosis	0.06462097389
Mean	0.5239920996
Median Absolute Deviation (MAD)	0.08
Skewness	-0.639873269
Sum	2188.715
Variance	0.01442230765
Monotonicity	Not monotonic

Quantile statistics

Minimum	0.2738612788
5-th percentile	0.5431390246
Q1	0.6708203932
median	0.738241153
Q3	0.7842193571
95-th percentile	0.8306623863
Maximum	0.9027735043
Range	0.6289122255
Interquartile range (IQR)	0.1133989638

Descriptive statistics

Standard deviation	0.08879535514
Coefficient of variation (CV)	0.1235915685
Kurtosis	1.104825505
Mean	0.7184580322
Median Absolute Deviation (MAD)	0.05267569297
Skewness	-1.022225458
Sum	2999.562285
Variance	0.007884615094
Monotonicity	Not monotonic

>>>>>> 4e89958cb6cafc8e751ef012b005e36d3fc5002c "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.625	94	2.3%
0.55	94	2.3%
0.575	93	2.2%
0.58	92	2.2%
0.6	87	2.1%
0.62	87	2.1%
0.5	81	1.9%
0.57	79	1.9%
0.63	78	1.9%
0.61	75	1.8%
Other values (124)	3317	79.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.075	1	< 0.1%
0.11	1	< 0.1%
0.13	2	< 0.1%
0.135	1	< 0.1%
0.14	2	< 0.1%
0.15	1	< 0.1%
0.155	3	0.1%
0.16	4	0.1%
0.165	5	0.1%
0.17	3	0.1%

Value	Count	Frequency (%)
0.815	1	< 0.1%
0.8	1	< 0.1%
0.78	2	< 0.1%
0.775	2	< 0.1%
0.77	3	0.1%
0.765	2	< 0.1%
0.76	2	< 0.1%
0.755	3	0.1%
0.75	8	0.2%
0.745	5	0.1%

Diameter
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	111
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.4078812545

Minimum	0.055
Maximum	0.65
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	32.8 KiB

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.7416198487	94	2.3%
0.790569415	94	2.3%
0.7582875444	93	2.2%
0.7615773106	92	2.2%
0.7745966692	87	2.1%
0.7874007874	87	2.1%
0.7071067812	81	1.9%
0.7549834435	79	1.9%
0.7937253933	78	1.9%
0.7810249676	75	1.8%
Other values (124)	3315	79.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.2738612788	1	< 0.1%
0.331662479	1	< 0.1%
0.3605551275	2	< 0.1%
0.3674234614	1	< 0.1%
0.3741657387	2	< 0.1%
0.3872983346	1	< 0.1%
0.3937003937	3	0.1%
0.4	4	0.1%
0.4062019202	5	0.1%
0.4123105626	3	0.1%

Value	Count	Frequency (%)
0.9027735043	1	< 0.1%
0.894427191	1	< 0.1%
0.8831760866	2	< 0.1%
0.8803408431	2	< 0.1%
0.8774964387	3	0.1%
0.8746427842	2	< 0.1%
0.8717797887	2	< 0.1%
0.8689073598	3	0.1%
0.8660254038	8	0.2%
0.8631338251	5	0.1%

Height
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	50
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.3694087725

Minimum	0.1
Maximum	1.063014581
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	32.7 KiB

>>>>>> 4e89958cb6cafc8e751ef012b005e36d3fc5002c "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">

Quantile statistics

Minimum	0.055
5-th percentile	0.22
Q1	0.35
median	0.425
Q3	0.48
95-th percentile	0.545
Maximum	0.65
Range	0.595
Interquartile range (IQR)	0.13

Descriptive statistics

Standard deviation	0.09923986613
Coefficient of variation (CV)	0.2433057784
Kurtosis	-0.04547558144
Mean	0.4078812545
Median Absolute Deviation (MAD)	0.065
Skewness	-0.6091981423
Sum	1703.72
Variance	0.00984855103
Monotonicity	Not monotonic

Quantile statistics

Minimum	0.1
5-th percentile	0.2738612788
Q1	0.3391164992
median	0.3741657387
Q3	0.4062019202
95-th percentile	0.4472135955
Maximum	1.063014581
Range	0.9630145813
Interquartile range (IQR)	0.06708542108

Descriptive statistics

Standard deviation	0.05586716309
Coefficient of variation (CV)	0.1512339913
Kurtosis	6.496555339
Mean	0.3694087725
Median Absolute Deviation (MAD)	0.03504923952
Skewness	-0.1760118468
Sum	1542.281625
Variance	0.003121139912
Monotonicity	Not monotonic

>>>>>> 4e89958cb6cafc8e751ef012b005e36d3fc5002c "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.45	139	3.3%
0.475	120	2.9%
0.4	111	2.7%
0.5	110	2.6%
0.47	100	2.4%
0.48	91	2.2%
0.455	90	2.2%
0.46	89	2.1%
0.44	87	2.1%
0.485	83	2.0%
Other values (101)	3157	75.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.055	1	< 0.1%
0.09	1	< 0.1%
0.095	1	< 0.1%
0.1	2	< 0.1%
0.105	4	0.1%
0.11	4	0.1%
0.115	2	< 0.1%
0.12	5	0.1%
0.125	7	0.2%
0.13	8	0.2%

Value	Count	Frequency (%)
0.65	1	< 0.1%
0.63	3	0.1%
0.625	1	< 0.1%
0.62	1	< 0.1%
0.615	1	< 0.1%
0.61	1	< 0.1%
0.605	3	0.1%
0.6	8	0.2%
0.595	4	0.1%
0.59	6	0.1%

Height
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	51
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.1395163993

Minimum	0
Maximum	1.13
Zeros	2
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	32.8 KiB

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.3872983346	267	6.4%
0.3741657387	220	5.3%
0.3937003937	217	5.2%
0.4183300133	211	5.1%
0.4	205	4.9%
0.3535533906	202	4.8%
0.4062019202	193	4.6%
0.3674234614	189	4.5%
0.3807886553	182	4.4%
0.3464101615	169	4.0%
Other values (40)	2120	50.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.1	1	< 0.1%
0.1224744871	2	< 0.1%
0.1414213562	2	< 0.1%
0.158113883	5	0.1%
0.1732050808	6	0.1%
0.1870828693	6	0.1%
0.2	13	0.3%
0.2121320344	11	0.3%
0.2236067977	18	0.4%
0.234520788	25	0.6%

Value	Count	Frequency (%)
1.063014581	1	< 0.1%
0.7176350047	1	< 0.1%
0.5	3	0.1%
0.4898979486	4	0.1%
0.4847679857	6	0.1%
0.4795831523	10	0.2%
0.474341649	13	0.3%
0.469041576	17	0.4%
0.4636809248	31	0.7%
0.4582575695	23	0.6%

Whole weight
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2427
Distinct (%)	58.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.8290045509

Minimum	0.002
Maximum	2.8255
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	32.7 KiB

>>>>>> 4e89958cb6cafc8e751ef012b005e36d3fc5002c "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">

Quantile statistics

Minimum	0
5-th percentile	0.075
Q1	0.115
median	0.14
Q3	0.165
95-th percentile	0.2
Maximum	1.13
Range	1.13
Interquartile range (IQR)	0.05

Descriptive statistics

Standard deviation	0.04182705661
Coefficient of variation (CV)	0.2998002873
Kurtosis	76.02550923
Mean	0.1395163993
Median Absolute Deviation (MAD)	0.025
Skewness	3.128817379
Sum	582.76
Variance	0.001749502664
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.15	267	6.4%
0.14	220	5.3%
0.155	217	5.2%
0.175	211	5.1%
0.16	205	4.9%
0.125	202	4.8%
0.165	193	4.6%
0.135	189	4.5%
0.145	182	4.4%
0.12	169	4.0%
Other values (41)	2122	50.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2	< 0.1%
0.01	1	< 0.1%
0.015	2	< 0.1%
0.02	2	< 0.1%
0.025	5	0.1%
0.03	6	0.1%
0.035	6	0.1%
0.04	13	0.3%
0.045	11	0.3%
0.05	18	0.4%

Value	Count	Frequency (%)
1.13	1	< 0.1%
0.515	1	< 0.1%
0.25	3	0.1%
0.24	4	0.1%
0.235	6	0.1%
0.23	10	0.2%
0.225	13	0.3%
0.22	17	0.4%
0.215	31	0.7%
0.21	23	0.6%

Whole weight
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2429
Distinct (%)	58.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.8287421594

Minimum	0.002
Maximum	2.8255
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	32.8 KiB

Quantile statistics

Minimum	0.002
5-th percentile	0.12585
Q1	0.44225
median	0.8
Q3	1.1535
95-th percentile	1.6956
Maximum	2.8255
Range	2.8235
Interquartile range (IQR)	0.71125

Descriptive statistics

Standard deviation	0.4903493012
Coefficient of variation (CV)	0.5914916881
Kurtosis	-0.02346199245
Mean	0.8290045509
Median Absolute Deviation (MAD)	0.356
Skewness	0.5305486493
Sum	3461.094
Variance	0.2404424372
Monotonicity	Not monotonic

Quantile statistics

Minimum	0.002
5-th percentile	0.1259
Q1	0.4415
median	0.7995
Q3	1.153
95-th percentile	1.6949
Maximum	2.8255
Range	2.8235
Interquartile range (IQR)	0.7115

Descriptive statistics

Standard deviation	0.4903890182
Coefficient of variation (CV)	0.5917268871
Kurtosis	-0.02364350427
Mean	0.8287421594
Median Absolute Deviation (MAD)	0.3565
Skewness	0.5309585633
Sum	3461.656
Variance	0.2404813892
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.2225	8	0.2%
0.4775	7	0.2%
0.196	7	0.2%
0.97	7	0.2%
1.1345	7	0.2%
0.18	6	0.1%
0.6765	6	0.1%
0.494	6	0.1%
0.3245	6	0.1%
0.5805	6	0.1%
Other values (2417)	4109	98.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.002	1	< 0.1%
0.008	1	< 0.1%
0.0105	1	< 0.1%
0.013	1	< 0.1%
0.014	1	< 0.1%
0.0145	2	< 0.1%
0.015	1	< 0.1%
0.0155	1	< 0.1%
0.0175	1	< 0.1%
0.018	2	< 0.1%

Value	Count	Frequency (%)
2.8255	1	< 0.1%
2.7795	1	< 0.1%
2.657	1	< 0.1%
2.555	1	< 0.1%
2.55	1	< 0.1%
2.548	1	< 0.1%
2.526	1	< 0.1%
2.5155	1	< 0.1%
2.5085	1	< 0.1%
2.505	1	< 0.1%

Age
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	28
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.43508982

Minimum	2.5
Maximum	30.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	32.7 KiB

Quantile statistics

Minimum	2.5
5-th percentile	7.5
Q1	9.5
median	10.5
Q3	12.5
95-th percentile	17.5
Maximum	30.5
Range	28
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	3.224227336
Coefficient of variation (CV)	0.2819590739
Kurtosis	2.330351976
Mean	11.43508982
Median Absolute Deviation (MAD)	2
Skewness	1.113754261
Sum	47741.5
Variance	10.39564191
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.2225	8	0.2%
0.196	7	0.2%
0.4775	7	0.2%
0.97	7	0.2%
1.1345	7	0.2%
0.18	6	0.1%
0.6765	6	0.1%
0.5805	6	0.1%
0.3245	6	0.1%
0.494	6	0.1%
Other values (2419)	4111	98.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.002	1	< 0.1%
0.008	1	< 0.1%
0.0105	1	< 0.1%
0.013	1	< 0.1%
0.014	1	< 0.1%
0.0145	2	< 0.1%
0.015	1	< 0.1%
0.0155	1	< 0.1%
0.0175	1	< 0.1%
0.018	2	< 0.1%

Value	Count	Frequency (%)
2.8255	1	< 0.1%
2.7795	1	< 0.1%
2.657	1	< 0.1%
2.555	1	< 0.1%
2.55	1	< 0.1%
2.548	1	< 0.1%
2.526	1	< 0.1%
2.5155	1	< 0.1%
2.5085	1	< 0.1%
2.505	1	< 0.1%

Shucked weight
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	1515
Distinct (%)	36.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.3593674886

Minimum	0.001
Maximum	1.488
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	32.8 KiB

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
10.5	689	16.5%
11.5	634	15.2%
9.5	567	13.6%
12.5	487	11.7%
8.5	391	9.4%
13.5	267	6.4%
7.5	258	6.2%
14.5	203	4.9%
15.5	126	3.0%
6.5	115	2.8%
Other values (18)	438	10.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2.5	1	< 0.1%
3.5	1	< 0.1%
4.5	15	0.4%
5.5	57	1.4%
6.5	115	2.8%
7.5	258	6.2%
8.5	391	9.4%
9.5	567	13.6%
10.5	689	16.5%
11.5	634	15.2%

Value	Count	Frequency (%)
30.5	1	< 0.1%
28.5	2	< 0.1%
27.5	1	< 0.1%
26.5	1	< 0.1%
25.5	2	< 0.1%
24.5	9	0.2%
23.5	6	0.1%
22.5	14	0.3%
21.5	26	0.6%
20.5	32	0.8%

Sex_F
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	236.6 KiB

0	2868
1	1307

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2868	68.7%
1	1307	31.3%

Length

Quantile statistics

Minimum	0.001
5-th percentile	0.0524
Q1	0.186
median	0.336
Q3	0.502
95-th percentile	0.7402
Maximum	1.488
Range	1.487
Interquartile range (IQR)	0.316

Descriptive statistics

Standard deviation	0.221962949
Coefficient of variation (CV)	0.6176489417
Kurtosis	0.5951236784
Mean	0.3593674886
Median Absolute Deviation (MAD)	0.1585
Skewness	0.7190979218
Sum	1501.078
Variance	0.04926755074
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.175	11	0.3%
0.2505	10	0.2%
0.165	9	0.2%
0.097	9	0.2%
0.21	9	0.2%
0.419	9	0.2%
0.302	9	0.2%
0.096	9	0.2%
0.2025	9	0.2%
0.2945	9	0.2%
Other values (1505)	4084	97.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.001	1	< 0.1%
0.0025	1	< 0.1%
0.0045	2	< 0.1%
0.005	3	0.1%
0.0055	2	< 0.1%
0.0065	3	0.1%
0.007	1	< 0.1%
0.0075	4	0.1%
0.008	1	< 0.1%
0.0085	1	< 0.1%

Value	Count	Frequency (%)
1.488	1	< 0.1%
1.351	1	< 0.1%
1.3485	1	< 0.1%
1.253	1	< 0.1%
1.2455	1	< 0.1%
1.2395	2	< 0.1%
1.232	1	< 0.1%
1.1965	1	< 0.1%
1.1945	1	< 0.1%
1.1705	1	< 0.1%

Viscera weight
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	880
Distinct (%)	21.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.1805936079

Minimum	0.0005
Maximum	0.76
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	32.8 KiB

Quantile statistics

Minimum	0.0005
5-th percentile	0.027
Q1	0.0935
median	0.171
Q3	0.253
95-th percentile	0.3796
Maximum	0.76
Range	0.7595
Interquartile range (IQR)	0.1595

Descriptive statistics

Standard deviation	0.1096142503
Coefficient of variation (CV)	0.6069663902
Kurtosis	0.084011749
Mean	0.1805936079
Median Absolute Deviation (MAD)	0.0795
Skewness	0.5918521514
Sum	754.3395
Variance	0.01201528386
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.1715	15	0.4%
0.196	14	0.3%
0.037	13	0.3%
0.061	13	0.3%
0.0575	13	0.3%
0.2195	13	0.3%
0.156	12	0.3%
0.096	12	0.3%
0.0265	12	0.3%
0.1625	12	0.3%
Other values (870)	4048	96.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.0005	2	< 0.1%
0.002	1	< 0.1%
0.0025	2	< 0.1%
0.003	3	0.1%
0.0035	3	0.1%
0.004	1	< 0.1%
0.0045	4	0.1%
0.005	7	0.2%
0.0055	6	0.1%
0.006	2	< 0.1%

Value	Count	Frequency (%)
0.76	1	< 0.1%
0.6415	1	< 0.1%
0.59	1	< 0.1%
0.575	1	< 0.1%
0.5745	1	< 0.1%
0.564	1	< 0.1%
0.55	1	< 0.1%
0.541	2	< 0.1%
0.5265	1	< 0.1%
0.526	1	< 0.1%

Shell weight
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	926
Distinct (%)	22.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.2388308595

Minimum	0.0015
Maximum	1.005
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	32.8 KiB

Quantile statistics

Minimum	0.0015
5-th percentile	0.0384
Q1	0.13
median	0.234
Q3	0.329
95-th percentile	0.48
Maximum	1.005
Range	1.0035
Interquartile range (IQR)	0.199

Descriptive statistics

Standard deviation	0.1392026695
Coefficient of variation (CV)	0.5828504316
Kurtosis	0.5319261262
Mean	0.2388308595
Median Absolute Deviation (MAD)	0.0995
Skewness	0.6209268251
Sum	997.5965
Variance	0.0193773832
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.275	43	1.0%
0.25	42	1.0%
0.315	40	1.0%
0.265	40	1.0%
0.185	40	1.0%
0.17	37	0.9%
0.285	37	0.9%
0.175	36	0.9%
0.3	36	0.9%
0.22	36	0.9%
Other values (916)	3790	90.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.0015	1	< 0.1%
0.003	1	< 0.1%
0.0035	1	< 0.1%
0.004	2	< 0.1%
0.005	12	0.3%
0.006	1	< 0.1%
0.0065	1	< 0.1%
0.007	1	< 0.1%
0.0075	1	< 0.1%
0.008	4	0.1%

Value	Count	Frequency (%)
1.005	1	< 0.1%
0.897	1	< 0.1%
0.885	2	< 0.1%
0.85	1	< 0.1%
0.815	1	< 0.1%
0.7975	1	< 0.1%
0.78	1	< 0.1%
0.76	1	< 0.1%
0.726	1	< 0.1%
0.725	3	0.1%

Rings
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	28
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9.933684463

Minimum	1
Maximum	29
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	32.8 KiB

Quantile statistics

Minimum	1
5-th percentile	6
Q1	8
median	9
Q3	11
95-th percentile	16
Maximum	29
Range	28
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	3.224169032
Coefficient of variation (CV)	0.324569302
Kurtosis	2.330687427
Mean	9.933684463
Median Absolute Deviation (MAD)	2
Skewness	1.114101898
Sum	41493
Variance	10.39526595
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
9	689	16.5%
10	634	15.2%
8	568	13.6%
11	487	11.7%
7	391	9.4%
12	267	6.4%
6	259	6.2%
13	203	4.9%
14	126	3.0%
5	115	2.8%
Other values (18)	438	10.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	< 0.1%
2	1	< 0.1%
3	15	0.4%
4	57	1.4%
5	115	2.8%
6	259	6.2%
7	391	9.4%
8	568	13.6%
9	689	16.5%
10	634	15.2%

Value	Count	Frequency (%)
29	1	< 0.1%
27	2	< 0.1%
26	1	< 0.1%
25	1	< 0.1%
24	2	< 0.1%
23	9	0.2%
22	6	0.1%
21	14	0.3%
20	26	0.6%
19	32	0.8%

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	2868	68.7%
1	1307	31.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Sex_I
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	236.6 KiB

0	2835
1	1340

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	2835	67.9%
1	1340	32.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	2835	67.9%
1	1340	32.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Sex_M
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	236.6 KiB

0	2647
1	1528

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	2647	63.4%
1	1528	36.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	2647	63.4%
1	1528	36.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

>>>>>> 4e89958cb6cafc8e751ef012b005e36d3fc5002c "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Spearman's ρ

>>>>>> 4e89958cb6cafc8e751ef012b005e36d3fc5002c "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Pearson's r

>>>>>> 4e89958cb6cafc8e751ef012b005e36d3fc5002c "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Kendall's τ

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

>>>>>> 4e89958cb6cafc8e751ef012b005e36d3fc5002c "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

>>>>>> 4e89958cb6cafc8e751ef012b005e36d3fc5002c "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">

A simple visualization of nullity by column.

>>>>>> 4e89958cb6cafc8e751ef012b005e36d3fc5002c "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	Sex	Length	Diameter	Height	Whole weight	Shucked weight	Viscera weight	Shell weight	Rings
0	M	0.455	0.365	0.095	0.5140	0.2245	0.1010	0.150	15
1	M	0.350	0.265	0.090	0.2255	0.0995	0.0485	0.070	7
2	F	0.530	0.420	0.135	0.6770	0.2565	0.1415	0.210	9
3	M	0.440	0.365	0.125	0.5160	0.2155	0.1140	0.155	10
4	I	0.330	0.255	0.080	0.2050	0.0895	0.0395	0.055	7
5	I	0.425	0.300	0.095	0.3515	0.1410	0.0775	0.120	8
6	F	0.530	0.415	0.150	0.7775	0.2370	0.1415	0.330	20
7	F	0.545	0.425	0.125	0.7680	0.2940	0.1495	0.260	16
8	M	0.475	0.370	0.125	0.5095	0.2165	0.1125	0.165	9
9	F	0.550	0.440	0.150	0.8945	0.3145	0.1510	0.320	19

Last rows

	Sex	Length	Diameter	Height	Whole weight	Shucked weight	Viscera weight	Shell weight	Rings
4167	M	0.500	0.380	0.125	0.5770	0.2690	0.1265	0.1535	9
4168	F	0.515	0.400	0.125	0.6150	0.2865	0.1230	0.1765	8
4169	M	0.520	0.385	0.165	0.7910	0.3750	0.1800	0.1815	10
4170	M	0.550	0.430	0.130	0.8395	0.3155	0.1955	0.2405	10
4171	M	0.560	0.430	0.155	0.8675	0.4000	0.1720	0.2290	8
4172	F	0.565	0.450	0.165	0.8870	0.3700	0.2390	0.2490	11
4173	M	0.590	0.440	0.135	0.9660	0.4390	0.2145	0.2605	10
4174	M	0.600	0.475	0.205	1.1760	0.5255	0.2875	0.3080	9
4175	F	0.625	0.485	0.150	1.0945	0.5310	0.2610	0.2960	10
4176	M	0.710	0.555	0.195	1.9485	0.9455	0.3765	0.4950	12

Overview

Variables

Common Values

Length

Overview

Variables

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Interactions

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Spearman's ρ

Spearman's ρ

Pearson's r

Pearson's r

Kendall's τ

Kendall's τ

Cramér's V (φc)

Phik (φk)

Missing values

Phik (φk)

Missing values

Sample

First rows

Last rows